{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "W&B has already been installed\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "### Go to Quick start https://docs.wandb.com/quickstart and perform the steps before going further\n",
    "found=$(pip show wandb || true)\n",
    "if [[ -z \"${found}\" ]]; then\n",
    "    pip install --upgrade wandb\n",
    "    echo \"W&B installed successfully\"\n",
    "else\n",
    "    echo \"W&B has already been installed\"\n",
    "fi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Falling back to default / hard-coded value set in the program\n",
      "SOURCE_ROOT_DATA_FOLDER = ../data/\n",
      "Falling back to default / hard-coded value set in the program\n",
      "TARGET_ROOT_DATA_FOLDER = ../data/\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "# supress warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "DEFAULT_MAX_ROWS = 1000\n",
    "\n",
    "### Kaggle Kernel settings - uncomment on when running on Kaggle\n",
    "# SOURCE_ROOT_DATA_FOLDER = '../input/sbfxcompetitionprocessdatasets/'\n",
    "# TARGET_ROOT_DATA_FOLDER = '../working'\n",
    "\n",
    "### Comment below two lines when running on Kaggle\n",
    "SOURCE_ROOT_DATA_FOLDER = '../data'\n",
    "TARGET_ROOT_DATA_FOLDER = '../data'\n",
    "\n",
    "import sys\n",
    "sys.path.insert(0, '..')\n",
    "sys.path.insert(0, '../library')\n",
    "\n",
    "import importlib\n",
    "visualisation_library = __import__(\"visualisation_library\")\n",
    "utility_library = __import__(\"utility_library\")\n",
    "process_data = __import__(\"process-data-lib\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import metrics\n",
    "from scipy.stats import spearmanr\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# visualization tools\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# show plots without need of calling `.show()`\n",
    "%matplotlib inline\n",
    "\n",
    "# prettify plots\n",
    "plt.rcParams['figure.figsize'] = [20.0, 5.0]\n",
    "sns.set_palette(sns.color_palette(\"muted\"))\n",
    "sns.set_style(\"ticks\")\n",
    "\n",
    "# supress warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "wandb: WARNING If you're specifying your api key in code, ensure this code is not shared publically.\n",
      "wandb: WARNING Consider setting the WANDB_API_KEY environment variable, or running `wandb login` from the command line.\n",
      "wandb: WARNING Calling wandb.login() without arguments from jupyter should prompt you for an api key.\n",
      "wandb: Appending key for api.wandb.ai to your netrc file: /Users/swami/.netrc\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                Logging results to <a href=\"https://wandb.com\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n",
       "                Project page: <a href=\"https://app.wandb.ai/sadhak001/sb-fx-comp\" target=\"_blank\">https://app.wandb.ai/sadhak001/sb-fx-comp</a><br/>\n",
       "                Run page: <a href=\"https://app.wandb.ai/sadhak001/sb-fx-comp/runs/yyuwp9wa\" target=\"_blank\">https://app.wandb.ai/sadhak001/sb-fx-comp/runs/yyuwp9wa</a><br/>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logged in successfully on W&B\n"
     ]
    }
   ],
   "source": [
    "# When using Kaggle kernels, uncomment the below comments\n",
    "# from kaggle_secrets import UserSecretsClient\n",
    "# user_secrets = UserSecretsClient()\n",
    "# api_token = user_secrets.get_secret(\"WANDB_TOKEN\")\n",
    "\n",
    "# Ensure you have started the Jupyter instance after setting the environment variable WANDB_TOKEN, \n",
    "# with your W&B Access token that can be found in your project page on https://www.wandb.com/\n",
    "api_token = os.environ[\"WANDB_TOKEN\"]\n",
    "\n",
    "# You can permanently save the token in your .bashrc, .bash_profile, or .zshrc\n",
    "\n",
    "# W&B Imports\n",
    "import wandb\n",
    "wandb.login(key=api_token)\n",
    "wandb.init(reinit=True, project=\"sb-fx-comp\")\n",
    "print(\"Logged in successfully on W&B\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "wandb.config.stage=\"04\"\n",
    "wandb.config.method=\"02\"\n",
    "wandb.config.model=\"Linear Regression model\"\n",
    "wandb.config.RANDOM_SEED = 42\n",
    "wandb.config.FEATURE_IMPORTANCE_CUTOFF = 0.00099 ### A rule-off thumb cutoff point, to filter out features of less or no importance\n",
    "wandb.config.nRowsRead = 4500\n",
    "wandb.config.test_size=0.20\n",
    "wandb.config.input_training_dataset_filename = 'train.csv'\n",
    "wandb.config.input_test_dataset_filename = 'test.csv'\n",
    "wandb.config.feature_importance_filename = f'method-{wandb.config.method}-linear-model-feature-importance.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 4177 rows and 229 columns in ../data/04-train-228-features-removed-redundant-columns-after-02.csv\n",
      "There are 1000 rows and 228 columns in ../data/04-test-228-features-removed-redundant-columns-after-02.csv\n"
     ]
    }
   ],
   "source": [
    "final_training_dataset = process_data.load_dataset(SOURCE_ROOT_DATA_FOLDER, wandb.config.input_training_dataset_filename, nRowsRead=wandb.config.nRowsRead)\n",
    "final_test_dataset = process_data.load_dataset(SOURCE_ROOT_DATA_FOLDER, wandb.config.input_test_dataset_filename, nRowsRead=wandb.config.nRowsRead)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_training_dataset.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_column_names = [col for col in final_training_dataset.columns]\n",
    "feature_column_names.remove('id')\n",
    "feature_column_names.remove('target')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = final_training_dataset[feature_column_names]\n",
    "y = final_training_dataset['target']\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=wandb.config.test_size, random_state=wandb.config.RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Train model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# https://earlacademy.com/linear-regression-and-elasticnet-with-sklearn/\n",
    "# We will use Linear model instead\n",
    "\n",
    "linearModel = LinearRegression()\n",
    "linearModel.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions = linearModel.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ratios and metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spearman Correlation: -0.013464546759619446\n"
     ]
    }
   ],
   "source": [
    "print(f'Spearman Correlation: {spearmanr(y_test, predictions)[0]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SpearmanrResult(correlation=-0.013464546759619446, pvalue=0.6974651538686936)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spearmanr(y_test, predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Intercept:  1.0001440337328698\n"
     ]
    }
   ],
   "source": [
    "print(\"Intercept: \", linearModel.intercept_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Actual v/s predicted target variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualisation_library.plot_between(y_test, predictions)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature Importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "49 features, reduction of 78.41% (feature importance cutoff score: 0.00099 and higher)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a26ecdb38>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# https://www.kaggle.com/den3b81/elasticnet-lb-0-547-and-feature-importance#Feature-importance\n",
    "\n",
    "feature_importance = pd.Series(index = X_train.columns, data = np.abs(linearModel.coef_))\n",
    "\n",
    "n_selected_features = (feature_importance > wandb.config.FEATURE_IMPORTANCE_CUTOFF).sum()\n",
    "reduction_in_features = (1 - n_selected_features / len(feature_importance)) * 100\n",
    "print('{0:d} features, reduction of {1:2.2f}% (feature importance cutoff score: {2:0.5f} and higher)'.format(\n",
    "    n_selected_features, reduction_in_features, wandb.config.FEATURE_IMPORTANCE_CUTOFF)\n",
    ")\n",
    "\n",
    "wandb.log({\"features with importance\": n_selected_features, \n",
    "           \"reduction in features\": reduction_in_features, \n",
    "           \"total features\": len(feature_column_names)})\n",
    "\n",
    "plt.rcParams.update({'font.size': 22})\n",
    "feature_importance.sort_values().tail(30).plot(kind = 'barh', figsize = (18,25))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved the feature importance columns in descending order of their importance to method-02-linear-model-feature-importance.csv\n"
     ]
    }
   ],
   "source": [
    "feature_importance.sort_values(ascending=False).to_csv(os.path.join(TARGET_ROOT_DATA_FOLDER, wandb.config.feature_importance_filename)) ### in this case we DO NOT use index=False, because we want to save the index\n",
    "feature_importance.sort_values(ascending=False).to_csv(os.path.join(wandb.run.dir, wandb.config.feature_importance_filename)) ### in this case we DO NOT use index=False, because we want to save the index\n",
    "print(f'Saved the feature importance columns in descending order of their importance to {wandb.config.feature_importance_filename}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualisation of residual (difference between predicted and actual)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a26f93860>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot((y_test-predictions), bins=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Training & testing metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Explained Variance Score (EVS)</th>\n",
       "      <th>Mean Absolute Error (MAE)</th>\n",
       "      <th>Mean Squared Error (MSE)</th>\n",
       "      <th>Root Mean Square Error (RMSE)</th>\n",
       "      <th>R2</th>\n",
       "      <th>Spearman Correlation</th>\n",
       "      <th>Spearman p-value</th>\n",
       "      <th>Intercept</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.0701693766</td>\n",
       "      <td>0.0158473539</td>\n",
       "      <td>0.0004184923</td>\n",
       "      <td>0.0204570837</td>\n",
       "      <td>-0.0745973389</td>\n",
       "      <td>-0.0134645468</td>\n",
       "      <td>0.6974651539</td>\n",
       "      <td>1.0001440337</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Explained Variance Score (EVS)  Mean Absolute Error (MAE)  \\\n",
       "0                   -0.0701693766               0.0158473539   \n",
       "\n",
       "   Mean Squared Error (MSE)  Root Mean Square Error (RMSE)            R2  \\\n",
       "0              0.0004184923                   0.0204570837 -0.0745973389   \n",
       "\n",
       "   Spearman Correlation  Spearman p-value    Intercept  \n",
       "0         -0.0134645468      0.6974651539 1.0001440337  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metrics_scores = {'Explained Variance Score (EVS)': metrics.explained_variance_score(y_test, predictions),\n",
    "'Mean Absolute Error (MAE)': metrics.mean_absolute_error(y_test, predictions),\n",
    "'Mean Squared Error (MSE)': metrics.mean_squared_error(y_test, predictions),\n",
    "'Root Mean Square Error (RMSE)': np.sqrt(metrics.mean_squared_error(y_test, predictions)),\n",
    "'R2': metrics.r2_score(y_test, predictions),\n",
    "'Spearman Correlation': spearmanr(y_test, predictions)[0],\n",
    "'Spearman p-value': spearmanr(y_test, predictions)[1],\n",
    "'Intercept': linearModel.intercept_\n",
    "}\n",
    "\n",
    "wandb.log(metrics_scores)\n",
    "metrics_scores_df = pd.DataFrame(metrics_scores, index=[0])\n",
    "metrics_scores_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a29a7ca20>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metrics_scores_df.plot.barh()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Validation using the separate test dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "validation_test = final_test_dataset[feature_column_names]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "validation_predictions = linearModel.predict(validation_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "validation_predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Submission and model creation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_id = pd.DataFrame(final_test_dataset['id'])\n",
    "df_target = pd.DataFrame(validation_predictions, columns = ['target'])\n",
    "df_submission = pd.concat([df_id, df_target], axis=1, sort=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_submission"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# method-02 == using Linear model\n",
    "# https://earlacademy.com/linear-regression-and-elasticnet-with-sklearn/\n",
    "\n",
    "def save_model_and_submission(model, dataframe, folder, method):\n",
    "    saved_filename = utility_library.save_submission(dataframe, folder, method)\n",
    "    \n",
    "    model_filename, ext = os.path.splitext(saved_filename)\n",
    "    model_filename = os.path.basename(model_filename) + \".pkl\"\n",
    "\n",
    "    print(\"~~~ Saving artifacts to disk \")\n",
    "    utility_library.save_model(model, folder, model_filename)\n",
    "\n",
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved submission file to ../data/submission-method-02-96e757e-6ff2ae4.csv\n",
      "~~~ Saving artifacts to disk \n",
      "Saved model to file ../data/submission-method-02-96e757e-6ff2ae4.pkl\n",
      "Saved submission file to /home/user/workspace/wandb/run-20200107_164322-yyuwp9wa/submission-method-02-96e757e-6ff2ae4.csv\n",
      "~~~ Saving artifacts to disk \n",
      "Saved model to file /Users/home/user/workspace/wandb/run-20200107_164322-yyuwp9wa/submission-method-02-96e757e-6ff2ae4.pkl\n",
      "~~~ Saving artifacts into W&B folder for further upload\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['/home/user/workspace/wandb/run-20200107_164322-yyuwp9wa/submission-method-02-96e757e-6ff2ae4.pkl',\n",
       " '/home/user/workspace/wandb/run-20200107_164322-yyuwp9wa/submission-method-02.pkl']"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "method=f'method-{wandb.config.method}'\n",
    "save_model_and_submission(linearModel, df_submission, TARGET_ROOT_DATA_FOLDER, method)\n",
    "save_model_and_submission(linearModel, df_submission, wandb.run.dir, method)\n",
    "\n",
    "print(\"~~~ Saving artifacts into W&B folder for further upload\")\n",
    "wandb.save(os.path.join(TARGET_ROOT_DATA_FOLDER, f'*{method}*.csv'))\n",
    "wandb.save(os.path.join(TARGET_ROOT_DATA_FOLDER, f'*{method}*.pkl'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualisation_library.plot_comparsions_sns(final_training_dataset['target'])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
